Data as of Aug 25, 2026 · Based on 1,601 AI responses · See how Parse measures this
AI-Powered eDiscovery Review Platforms
Parse
https://parse.gl
Relativity continues to be the top-recommended platform for large-scale, complex in AI-generated responses. However, competitors like and have surged in prominence since late 2025, with AI assistants now clearly differentiating between user needs like small firm affordability versus enterprise-level privilege review.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | A fast-rising competitor known for its modern interface and strong ECA visualizations. | 68% | |
| 2 | The enterprise leader for complex, large-scale discovery and defensible privilege review. | 64% | |
| 3 | The go-to choice for small firms needing simple, self-service | 43% | |
| 4 | Praised for its speed, AI-powered search, and cloud-native review workflows. | 38% | |
| 5 | 31% | ||
| 6 | A mature solution noted for its Technology-Assisted Review (TAR) workflows. | 18% | |
| 7 | Frequently recommended for its strong Early Case Assessment (ECA) visualization tools. | 16% | |
| 8 | An integrated solution for small firms combining | 13% | |
| 9 | 13% | ||
| 10 | 12% | ||
| 11 | 9% | ||
| 12 | 9% | ||
| 13 | 8% | ||
| 14 | 7% | ||
| 15 | 6% | ||
| 16 | 6% | ||
| 17 | 6% | ||
| 18 | 5% | ||
| 19 | Praised for its speed, AI-powered search, and cloud-native review workflows. | 4% | |
| 20 | 4% | ||
| 21 | 4% | ||
| 22 | 4% | ||
| 23 | 3% | ||
| 24 | Praised for its speed, AI-powered search, and cloud-native review workflows. | 3% | |
| 25 | 3% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
rev.com is the page AI reaches for most here, cited in 40% of analyzed answers.
Surged from rank #4 to #2 between October 2025 and March 2026.
“A generic enterprise platform with 'advanced analytics'” → “A platform with specific AI products like 'aiR for Privilege'”
Jumped from rank #41 to #5, frequently cited for ECA visualizations since November 2025.
Dropped from #3 to #13 in overall mention rank between October 2025 and March 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 91% | 73% | ||
| 54% | 46% | ||
| 38% | 36% | ||
| 43% | 16% | ||
| 35% | 30% |
The two models disagree most about GoldFynch (ChatGPT #21, Google #9) and Relativity aiR for Privilege (ChatGPT #9, Google #20).
Relativity continues to be the top-recommended platform for large-scale, complex eDiscovery in AI-generated responses. However, competitors like Everlaw and DISCO have surged in prominence since late 2025, with AI assistants now clearly differentiating between user needs like small firm affordability versus enterprise-level privilege review.
Across 1,601 AI responses, Everlaw is mentioned most, named in 68% of them, followed by Relativity (64%) and Logikcull (43%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,601 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Relativity is the dominant recommendation for this prompt, consistently cited as the leader for large-scale privilege review. Since early 2026, responses have become more specific, referencing features like '
Air for Privilege'.
Everlaw is consistently positioned as the primary alternative.
Brands mentioned
Relativity is the dominant recommendation for this prompt, consistently cited as the leader for large-scale privilege review. Since early 2026, responses have become more specific, referencing features like '
Air for Privilege'.
Everlaw is consistently positioned as the primary alternative.
AI responses consistently recommend Relativity and
for their Technology-Assisted Review (TAR) capabilities. Over the observed period, the terminology in answers has evolved from general TAR to more specific methods like Continuous Active Learning (CAL) and TAR 2.0. and are also frequently named as modern alternatives.
Brands mentioned
I need an eDiscovery platform that uses technology-assisted review to reduce document volume.
AI responses consistently recommend Relativity and
OpenText for their Technology-Assisted Review (TAR) capabilities. Over the observed period, the terminology in answers has evolved from general TAR to more specific methods like Continuous Active Learning (CAL) and TAR 2.0.
Everlaw and
DISCO are also frequently named as modern alternatives.
The market map